ORIGINAL RESEARCH
Application of Gray Relational Analysis in Evaluating the Environmental Loads in Hubei Province, China, During 1995-2019
,
 
Yue Li 3
 
 
 
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1
School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan 430068, China
 
2
Innovation Demonstration Base of Ecological Environment Geotechnical and Ecological Restoration of Rivers and Lakes, Hubei University of Technology, Wuhan 430068, China
 
3
Business School, Hubei University, Wuhan 430062, China
 
 
Submission date: 2023-09-06
 
 
Final revision date: 2023-10-25
 
 
Acceptance date: 2023-11-14
 
 
Online publication date: 2024-02-08
 
 
Publication date: 2024-03-18
 
 
Corresponding author
Wenjun Peng   

School of Civil Engineering, Architecture and Environment, Hubei University of Technology, China
 
 
Pol. J. Environ. Stud. 2024;33(3):2773-2786
 
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ABSTRACT
Fragile ecosystems that are affected by erosion from high pollution environmental loads pose a serious threat to human health and well-being. The evaluation of regional environmental loads has become a major issue for eco-environmental conservation and management. As a key region in central China, Hubei Province relies on ecosystems and the environment, which offer an important foundation for sustainable development and continuous improvements in social productivity. For this study, seven influencing factors were selected, and a correlation degree model was applied to assess Hubei Province’s environmental loads during the period from 1995-2019. The results show that the overall environmental loads exhibit a fluctuating decreasing trend in response to economic growth and development actions. Moreover, as eco-environmental pollution problems have been addressed and improved over time, the ecosystem operating status has been gradually optimized. Finally, the paper concludes with a proposal of specific measures designed to mitigate Hubei Province’s ecological loading from the perspectives of industrial structure, public awareness and technological innovation.
eISSN:2083-5906
ISSN:1230-1485
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